Special Issue on Smart Data for Internet of Things
摘要截稿:
全文截稿: 2018-08-31
影响因子: 6.125
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:理论方法 - 1区
Overview
Internet of Things (IoT) are creating many research challenging issues for the industry and academia, towards novel potential impacts on the monitoring, control and understanding of world, weather, social life, security, health, emergencies and so on. The solutions to these challenges are expected soon to provide an effective and scalable support for the computation, data storage, analysis and use of the data that will be created by the explosive adoption of the IoT and machine to machine communication in many contexts. Improvements in the area of IoT require new ways to transform Big Data into Smart Data since only Big Data is not enough.
Smart Data aims to filter out the noise and hold the valuable data, which can effectively support IoT for planning, operation, monitoring, control, and intelligent decision making. However, it is a challenging issue to acquire Smart Data from Big Data. A large number of computational intelligent technologies such as artificial neural networks, evolutionary computation and fuzzy logic have been developed to obtain smart data. The adoption of computational intelligence technologies and theories in handling Big Data and Smart Data could offer a number of advantages.
The main focus of this special issue will be on the adoption of Smart Data for Internet of Things. We welcome authors to present new techniques, methodologies and research directions unsolved issues. Topics of interest include, but are not limited to:
- Mobile Data analysis, management and processing for IoT
- Information fusion for mobile data for IoT
- Drill Smart Data from Big Data for IoT
- New Techniques in Smart Data for IoT
- Machine learning algorithms over Big Data for IoT
- Deep learning models, architectures and algorithms for Big Data for IoT
- Brain-inspired representations learning of Big Data for IoT
- Edge/for/cloud computing for Big Data and Smart Data for IoT
- Security, privacy and trust in Big Data and Smart Data for IoT
- Security, privacy and trust in Internet of Things
- Streaming data learning algorithms for IoT
- Intelligent decision-making systems for Big Data and Smart Data in IoT
- Prediction methods for Big Data and Smart Data applications in IoT
- Evolutionary computing in Big Data in IoT
- Swarm Intelligence and Big data for IoT
- Handling uncertainty and incompleteness in Big Data and Smart Data for IoT
- Applications of Fuzzy Set theory, Rough Set theory, and Soft Set theory in Smart Data for IoT